Average ACOS by Amazon Category: 2026 Benchmarks

If you have ever typed "what is a good ACOS on Amazon" into a search bar and gotten back a single number, you got bad advice. ACOS (advertising cost of sale, your ad spend divided by the revenue those ads drove) only means something next to two other numbers: your category and your margin. The platform-wide blended average sits around 29% to 32% in 2026 on Sponsored Products data from AdBadger and Jungle Scout; Autron's separate Sponsored Products benchmark reads approximately 34%, a higher figure reflecting different account composition. Either way, the headline hides a 2x spread, from roughly 21% in Food and Grocery to 42% in Clothing and Apparel on AdBadger's Sponsored Products figures. This page benchmarks ACOS across nine major Amazon categories using 2026 data, then walks through the break-even math that decides whether your number is profitable, defensible, or a warning sign.

Average ACOS by Amazon category in 2026

Here is the headline. Median Sponsored Products ACOS by category, sorted from the cheapest categories to advertise in to the most expensive.

The pattern is not random. The categories at the bottom of the chart share high purchase intent and repeat-purchase behavior, which lifts conversion rates and keeps ACOS down. Food and Grocery runs lowest at 21% because shoppers buy consumables on intent and come back. Beauty and Pet sit in the mid-20s for the same reason, helped by subscription and replenishment. The categories at the top carry structural drag: Clothing and Apparel runs 42% on AdBadger's Sponsored Products data partly because more than one in five units come back as returns (Autron's separate Sponsored Products dataset puts Apparel at approximately 57%, reflecting its different account composition), and Sports and Outdoors runs 33% on niche keywords with mid-to-high cost per click.

Category	Median ACOS (all sellers)	Heavy-spend ($25K+/mo)	What drives it
Food & Grocery	21%	35%	High intent, repeat purchase, low CPC
Beauty & Personal Care	24%	36%	Strong CVR, impulse plus replenishment
Pet Supplies	26%	37%	Subscription and repeat purchase help ROAS
Toys & Games	26%	27%	Q4 seasonal spike lifts the annual average
Health & Household	27%	41%	Regulated-claim keywords drive up CPC
Electronics	29%	25%	High CPC, but high AOV offsets it
Home & Garden	31%	28%	Seasonal, wide SKU dispersion
Sports & Outdoors	33%	27%	Niche keywords, mid-to-high CPC
Clothing & Apparel	42%	30%	20%+ return rate plus fashion competition

When I talk to founders running an Amazon brand for the first time, the question they keep asking is "is 28% good?" and the honest answer is always another question: good for what category, at what margin, at what stage. That single benchmark table is where the conversation should start, not end.

Why the platform average lies

The biggest mistake operators make is treating "the average ACOS" as a target. There is no meaningful platform average to hit, for two separate reasons.

First, the category spread is wider than the average itself. A 30% ACOS is excellent in Apparel, where the median is 42%, average in Home and Garden, where the median is 31%, and a money-loser in Grocery, where the median is 21% and margins are tight. If you benchmark a Grocery brand against the 29% to 32% platform number, you will happily run yourself into the ground thinking you are "beating the average."

Second, the same category reads very differently depending on whose accounts are in the dataset. All-seller medians and heavy-spend datasets disagree by as much as 14 points in the same vertical.

Look at Health and Household: the all-seller median is 27%, but among accounts spending $25K or more a month it jumps to 41%. Grocery does the same thing, 21% versus 35%. In the consumable categories (Food, Beauty, Pet, and Health), the heavy-spend cohort is full of large CPG brands pushing bids hard to hold shelf position, and they accept a higher ACOS to do it. But the pattern reverses elsewhere: in Electronics, Home and Garden, Sports, and Clothing, the $25K+/mo accounts actually run leaner than the all-seller median (Clothing 42% versus 30%), because at that scale they have the optimization muscle to wring out efficiency. Neither set of numbers is wrong. They describe different populations. The pattern we see again and again is a seller benchmarking a $20K-a-month account against a dataset built from million-dollar ad budgets, then panicking that their ACOS is "too low" and over-spending to catch up. Match the benchmark to your account size before you change a single bid.

The break-even math every seller should run first

Forget the benchmark for a second. The number that actually decides whether your ACOS is profitable is your break-even ACOS, and it comes straight off your own P&L.

The formula is simple: break-even ACOS = contribution margin / selling price. Your contribution margin is what is left after you subtract COGS and every Amazon fee (the referral fee, the FBA fulfillment fee, and storage) from your selling price. At your break-even ACOS, an ad-attributed sale makes exactly zero profit. Spend more than that to acquire the sale and you are paying customers to take your product.

SKU example	Price	COGS	Referral	FBA	Storage	Contribution margin	Break-even ACOS
General merchandise	$35.00	$14.00	$5.25 (15%)	$5.50	$1.25	$9.00	26%
Yoga mat / Sports	$30.00	$10.00	$4.50 (15%)	$6.50	$1.00	$8.00	27%
Premium apparel	$100.00	$50.00	$17.00 (17%)	$7.00	$1.00	$25.00	25%
Beauty supplement	$45.00	$15.00	$6.75 (15%)	$5.50	$1.25	$16.50	37%
Grocery item	$20.00	$9.00	$1.60 (8%)	$4.00	$0.75	$4.65	23%

Now put that next to the category benchmark and the picture gets sharper.

Note: the chart uses category-typical margin assumptions to derive break-even ACOS for a representative SKU in each vertical. The worked-example table above uses specific SKU economics (for example, a beauty supplement at a 37% break-even or a grocery item at 23%), so the two sets of break-even figures differ by design: the chart shows what a typical seller in each category faces; the table shows what a specific product's P&L produces.

Where the benchmark bar pokes above the break-even bar, the category average is already running at a loss on ad-attributed sales. That is the case in Electronics, Home and Garden, and Clothing, where thin margins or heavy competition push the average ACOS to or past the break-even line. In Grocery and Beauty the benchmark sits comfortably under break-even, so the typical seller still has cushion to bid into. Two SKUs with the same 30% ACOS can sit on opposite sides of profitability: the beauty supplement at a 37% break-even is making good money, while the grocery item at a 23% break-even is bleeding on every click.

ACOS by lifecycle stage: launch, growth, mature

A target ACOS is not a fixed number even within your own catalog. It moves with where a product sits in its life. Treat it as a ladder.

In launch (the first 60 to 90 days of a new ASIN), an ACOS of 30% to 50% is normal and often correct. You are buying rank velocity, reviews, and the sales history that the algorithm rewards. You are spending on rank, not on profit, and that is a deliberate investment. In growth, once you have organic rank to defend, step the target down to 20% to 30%. In maturity, with a strong organic base carrying most of your sales, 10% to 20% is the efficient zone.

This is exactly where TACOS earns its keep. ACOS only sees ad-attributed sales, so it cannot tell you whether ads are lifting your whole business. TACOS (total ACOS, your ad spend divided by total revenue including organic) can. A declining TACOS alongside flat or growing revenue is the single clearest sign of a healthy Amazon account, because it means organic is doing more of the work while ads defend the position. Healthy TACOS for an established brand is approximately 10% to 15%, a composite directional range from SequenceCommerce, Trellis, and operator benchmarks, since no single public dataset breaks TACOS by category.

One operator note worth sitting with: a brand running a 16% TACOS at a 75% gross margin once told us their ad spend felt "fine." On the margin math, it was more than fine, it was under-investing. The product could absorb a higher TACOS and still print profit, which meant every point they refused to spend was growth they were leaving on the table. Too low a TACOS hurts the brand too, not just too high a one. Under-bidding starves your rank velocity, and rank is far more expensive to win back than it is to hold.

What drives the spread, and how to read your own number

The category gaps are not arbitrary, and understanding the cause tells you whether your number is a problem or just the cost of doing business in your vertical.

Apparel runs hot because of returns. When more than 20% of units come back, your effective cost per retained sale climbs even when your headline CPC looks reasonable, so the category median lands at 42%. Grocery runs cool because intent is high and CPCs are low, often well under a dollar, and shoppers repeat-buy. Health runs higher than its repeat-purchase behavior would suggest because regulated-claim keywords are expensive, with cost per click pushing $1.40 to $2.90, and that CPC inflation flows straight into ACOS. Across the board, rising CPCs are nudging platform ACOS up one to two points a year in major markets (European Amazon markets saw 8% to 12% CPC growth in 2025, per Pacvue; US trends run parallel), so a flat ACOS year over year actually means you got more efficient underneath.

So how do you set your own target? Three steps. First, find your category median from the table above, which tells you the going rate. Second, compute your break-even ACOS from your own margins, which tells you the ceiling. Third, set your target at the lower of two numbers: your break-even minus a 10-point safety buffer, or your category median. The exception is a launch product, which should start at break-even (you are investing in rank) and tighten as organic builds. When an operator asks whether the next dollar of ad spend will return more than the last, and the honest answer is "barely," that is the signal that bids are too high or targeting has exhausted the demand, and it is time to pull back rather than push.

The platform average ACOS is a number you should never target. Benchmark against your category to know the going rate, compute your break-even to know your ceiling, and watch your TACOS to know whether the whole account is getting healthier. A 30% ACOS is a triumph in one aisle and a slow bleed in the next.

Sources and methodology

Category ACOS medians are compiled from third-party Amazon advertising benchmark datasets. The all-seller medians in the table are drawn primarily from Ad Badger's Amazon advertising stats (cross-category range 25% to 36%, mean approximately 29.6%), cross-referenced against the Autron Amazon ACOS benchmarks by category (2026) and the category tables published by SequenceCommerce. No single definitive public "ACOS by category" dataset exists, so these are directional aggregates rather than a census.

A note on the Clothing and Apparel figure and the platform-wide average. This post leads with AdBadger's Sponsored Products medians (Clothing 42%, cross-category range 25% to 36%, mean approximately 29.6%). Autron's separate Sponsored Products dataset reads higher (Clothing approximately 57%, platform-wide approximately 34%), a divergence that reflects sample and methodology differences between two SP benchmarks, not a campaign-type distinction. Both sources measure Sponsored Products campaigns. The directional 29% to 32% platform range used throughout is anchored to AdBadger's mean and Jungle Scout's blended 28.4% seller-level average. Readers whose account data aligns with Autron's sample should benchmark against the 34% and 57% figures accordingly.

The heavy-spend comparison is a different population, reported separately for transparency. The $25K+/month account figures come from Ryze AI's 2026 benchmark of 850+ Sponsored Products accounts over a 12-month window. That cohort skews toward large-budget advertisers whose ACOS runs hotter, which is why it diverges from the all-seller medians by up to 14 points in some categories.

Break-even ACOS examples use the standard Amazon fee structure. Referral fees follow the published Amazon schedule (8% for grocery and many electronics, 15% for most categories, 17% for clothing), and FBA fees use the 2025 to 2026 standard-size tier. COGS ratios in the worked examples are illustrative. For your own numbers, run your SKUs through the Amazon FBA revenue calculator inside Seller Central.

Benchmarks shift quarter to quarter, so re-check against your live account. Category medians move with seasonality (Toys spikes in Q4) and with rising CPCs. Treat these as a starting reference and re-benchmark against your own Sponsored Products data each quarter. For the metric itself, see what ACOS means and how to read it and the fuller ACOS benchmarks by vertical, and if you are choosing tooling, our guide to the best accounting software for Amazon sellers. For help turning ad spend into a margin plan, talk to our fractional CFO team for ecommerce.

Frequently asked questions

what is a good acos on amazon?

There is no single number. A good ACOS is any ACOS comfortably below your break-even ACOS, which is your contribution margin divided by your selling price. As a category sanity check, good usually means at or below your category median: roughly 21% in Grocery, 27% in Health, and 42% in Apparel in 2026.

how do i calculate my break-even acos?

Break-even ACOS = contribution margin / selling price. Contribution margin is your selling price minus COGS minus every Amazon fee (referral, FBA, and storage). A $35 product with a $9 contribution margin breaks even at about 26%. At that ACOS the ad-attributed sale makes exactly zero profit.

what is the difference between acos and tacos on amazon?

ACOS is ad spend divided by ad-attributed revenue, so it measures campaign efficiency. TACOS is ad spend divided by total revenue, including organic sales, so it measures account health. You manage bids with ACOS and you judge the whole Amazon business with TACOS. A falling TACOS with steady revenue is the goal.

why is clothing and apparel acos so high on amazon?

Two structural reasons, not bad management. Return rates in Apparel run over 20%, which quietly inflates your effective cost per sale, and the category carries a high SKU count where many campaigns are building rank rather than harvesting conversions. An Apparel seller running 25% is often under-investing against a 42% median competitor.

is a 30% acos good on amazon?

It depends entirely on your category and your margin. A 30% ACOS is excellent in Clothing and Apparel, roughly average in Home and Garden or Electronics, and loss-making in Food and Grocery where the median is 21% and margins are thin. Always check it against your break-even ACOS first.

what acos should i target when launching a new amazon product?

Higher than you would tolerate at maturity. A launch ACOS of 30% to 50% is normal because you are buying rank velocity and reviews, not profit, in the first 60 to 90 days. Once you have organic rank, step it down to 20% to 30% in growth and 10% to 20% at maturity.

what is a good tacos for an established amazon brand?

For an established brand with a solid organic base, healthy TACOS sits around 10% to 15%. Below 5% can mean you are under-investing and starving your rank velocity, which costs more to recover than you saved. Launch-phase brands will run 25% to 40% TACOS, and that is fine if the margin supports it.

does a high acos mean i'm losing money on amazon ads?

Not by itself. High only means anything relative to your break-even ACOS. A 40% ACOS on a 70% gross-margin product can still be profitable, while a 25% ACOS on a thin grocery item can lose money. Compute break-even first, then judge whether the number is high.